Advertisement

Bioprocess Engineering

, Volume 15, Issue 3, pp 145–150 | Cite as

Automatic control of the specific growth rate in fed-batch cultivation processes based on an exhaust gas analysis

  • D. Levisauskas
  • R. Simutis
  • D. Borvitz
  • A. Lübbert
Originals

Abstract

A new simple strategy for a reliable and robust automatic control of the specific growth rate in fed-batch cultivation processes is presented. Its advantages over model supported control is that the algorithm only needs a minimum of information about the process. Moreover, it is independent of the specific microorganism, the cultivation phase and the biomass level. Also, only a minimum of soft- and hardware is required. Hence, the approach is attractive for industrial production processes that do not have specialized instrumentation. Its accuracy is comparable with model supported control and thus sufficient for most industrial applications. Simulations and experimental tests of the technique performed for the example of a fed-batch cultivation of E. coli demonstrate a good controller performance for various cultivation conditions and process disturbances. Preferred applications will be production systems where the productivity is critically dependent on the growth rate, e.g. in recombinant protein or antibiotic productions.

Keywords

Biomass Recombinant Protein Automatic Control Specific Growth Rate Simple Strategy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

List of Symbols

D 1/h

dilution rate

OUR g/h

oxygen uptake rate

CER g/h

carbon dioxide evolution rate

X g

biomass

x g/l

biomass concentration

μ l/h

specific growth rate

rcl/h

desired value of specific growth rate

r l/h

feed-back signal

qs g/(gh)

specific substrate consumption rate

αi g/g

yield coefficient for consumption or production

βi, g/(gh)

specific maintenance rate

V l

volume

F l/h

feeding rate

s g/l

substrate concentration

sF g/l

substrate concentration in feed

T1..4 h

time constants of control channel objects

TF h

time constant of exponential filter

τ h

time delay of the control channel

Ki

gain coefficients of control channel objects

Δi

small deviations of variables

p

Laplace transform operator

W0

transfer functions of control channel

μmax, KS, KI, yxs, m

process model parameter

Kc, Ti, Td

PID controller parameter

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Wu, W.T.; Chen, K.C.; Chion, H.W.: On-line optimal control of fed-batch culture of bakers yeast production. Biotechnol. Bioeng. 27 (1985) 756–760Google Scholar
  2. 2.
    Stephanopoulos, G.; Sun, K.Y.: Studies on on-line bioreactor identification. Biotechnol. Bioeng. 26 (1984) 1176–1188Google Scholar
  3. 3.
    Cazzador, L.; Lubenova, V.: Nonlinear estimation of specific growth rate for aerobic fermentation processes. Biotechnol. Bioeng. 47 (1995) 626–632Google Scholar
  4. 4.
    Lim, H.; Lee, K.S.: Control of Bioreactor Systems. In: K. Schügerl (Ed.): Biotechnology, Vol. 4, Measuring, modelling and control, Weinhelm: VCH (1991) 542–547Google Scholar
  5. 5.
    Stephanopoulos, G.; Konstantinov, K.; Saner, U.; Yoshida, T.: Fermentation data analysis for diagnosis and control. In: G. Stephanopoulos (Ed.): Biotechnology, v3, Bioprocessing, Weinhelm: VCH (1993) 359–400Google Scholar
  6. 6.
    Schubert, J.; Simutis, R.; Dors, M.; Havlik, I.; Lübbert, A.: Bioprocess optimization and control: Application of hybrid modelling. J. Biotechnology. 35 (1994) 51–68Google Scholar
  7. 7.
    Borvitz, D.; Gerlach, D.; Dors, M.; Havlik, I.; Simutis, R.; Lübbert, A.: A dynamical reference process for testing on-line measurement devices under real cultivation conditions. J. Biotechnology (submitted 1995)Google Scholar
  8. 8.
    Levisauskas, D.: An algorithm for adaptive control of dissolved oxygen concentration in Batch Culture. Biotechnology Techniques 9 (1995) 85–90Google Scholar
  9. 9.
    Takamatsu, T.; Shioya, S.; Okada, Y.; Kanda, M.: Profile control scheme in a bankers yeast fed-batch culture. Biotechnol. Bioeng. 27 (1985) 1675–1686Google Scholar
  10. 10.
    O'Connor, G.M.; Sanchez-Riera, F.; Cooney, C.L.: Design and evaluation of control strategies for high cell density fermentations. Biotechnol. Bioeng. 39 (1992) 293–304Google Scholar
  11. 11.
    Bajpai, R.: Control of bacterial fermentations. Annals of the New York Academy of Sciences 506 (1987) 446–458Google Scholar
  12. 12.
    Bailey, J.E.; Ollis, D.F.: Biochemical engineering fundamentals. New York: McGraw-Hill, (1986)Google Scholar
  13. 13.
    Ogunnaike, B.A.; Ray, H.W.: Process dynamics, modeling and control. New York: Oxford University Press (1994)Google Scholar

Copyright information

© Springer-Verlag 1996

Authors and Affiliations

  • D. Levisauskas
    • 1
  • R. Simutis
    • 1
  • D. Borvitz
    • 1
  • A. Lübbert
    • 1
  1. 1.Institut für Technische ChemieUniversität HannoverHannoverGermany

Personalised recommendations